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Full-Stack Geospatial Data Engineer

May 13, 2026

<h2>About the Role</h2><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.dclimate.ai/">dClimate Labs</a> is building EarthOS, an AI-powered climate and geospatial intelligence platform that turns satellite, environmental, and asset-level data into actionable insights for companies, investors, and insurers.<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.cyclops.ai/">CYCLOPS</a> is dClimate Labs’ natural capital and carbon MRV platform. It helps carbon project developers, investors, buyers, and agricultural companies monitor land cover, vegetation health, carbon stocks, land-use change, and project risks using satellite data and geospatial analytics.Our mission is to turn petabytes of Earth observation imagery into auditable metrics of carbon stocks, vegetation health, and land use change so that climate finance can flow where it matters.We’re looking for a hands-on full-stack data engineer to advance CYCLOPS across the full stack, from APIs and geospatial data pipelines to frontend tools used by carbon project developers, investors, buyers, and agricultural companies. <h2>Why this Role is Unique</h2><ul style="min-height:1.5em"><li>Own the product & the pipeline: You’ll design everything from ingestion of raw Sentinel/Landsat scenes to the API that powers on-chain carbon registries and dashboards.</li><li>Impact at scale: Each line of code helps move millions of tonnes of CO₂ equivalent through verifiable nature-based projects.</li><li>Novel technology: No legacy cruft. Pick the right datastores, cloud primitives, and CI/CD flows from day one.</li><li>Educational environment: You will work with professors and academics who are top of their fields so you understand the why, while doing the how.</li><li>Path to leadership: You’ll play a role in hiring and mentoring subsequent engineers, setting technical direction for years to come. </li></ul><h2>What You'll Do</h2><ul style="min-height:1.5em"><li>Architect end-to-end systems: Design satellite-image processing pipelines (STAC → xarray → Parquet/Zarr/IPFS) and the microservices that expose results via GraphQL/REST.</li><li>Ship product features: Build dashboards in Next.js/React and geospatial APIs in Node/Python/FastAPI that climate-finance customers love.</li><li>Scale & harden: Automate everything with IaC (Terraform/Pulumi), CI/CD, and robust orchestration using Prefect. Profile memory & I/O to keep petabyte workflows affordable.</li><li>Lead & mentor: Establish engineering best practices, run code reviews, and recruit the next generation of Cyclops engineers.</li></ul><h2>What You'll Need</h2><ul style="min-height:1.5em"><li>Fluent across the stack: Python for data and Typescript, React/Next.js, Node.js</li><li>Data-infrastructure chops: Dask/DuckDB; S3 & object-store patterns; Data pipelining with orchestration tools like Prefect, columnar formats (Parquet, Arrow) and chunked stores (Zarr, Cloud-Optimized GeoTIFF), Docker.</li><li>GIS / remote-sensing know-how: Google Earth Engine, QGIS, Rasterio, GDAL, PROJ, xarray, GeoPandas, STAC, EO tiling schemes</li><li>Cloud & DevOps: Docker, IaC, Prefect, AWS compute services and observability (Prometheus/Grafana, OpenTelemetry).</li><li>Systems thinking: Comfortable reasoning about distributed systems, eventual consistency, and data-versioning at petabyte-plus scale.</li><li>Bias for action & ambiguity tolerance: You turn half-written Notion docs into shipped features without hand-holding.</li><li>Mission-driven: You want your work to fight climate change.</li></ul><h2>Extra Credit</h2><ul style="min-height:1.5em"><li>Experience leading a small team or owning a large production system.</li><li>GPU accelerated image processing (cuDF, RAPIDS, TorchGeo).</li><li>Machine Learning knowledge and MLOps (PyTorch/TensorFlow)</li><li>Experience with carbon/MRV methodologies or environmental/agricultural science.</li></ul><h2>What We Offer</h2><ul style="min-height:1.5em"><li>For candidates based in the United States, the anticipated salary range is $40,000 - $110,000, depending on experience and location. We also welcome global candidates. For those located outside the United States, engagement structure and compensation will be tailored to your location and discussed throughout the hiring process.</li><li>Remote-first, async-friendly culture with team members and hubs in Europe and USA</li><li>Stipend for hardware, conferences, and learning.</li><li>The chance to write the playbook for geospatial data in decentralized climate finance.</li></ul><h2>How to Apply</h2>Email <a target="_blank" rel="noopener noreferrer nofollow" href="mailto:careers@dclimate.net">careers@dclimate.net</a> with:<ol style="min-height:1.5em"><li>“CYCLOPS - Geospatial Wizard” in the subject line.</li><li>Your resume and GitHub / portfolio links.</li><li>A short note (<300 words) describing the most complex data pipeline you’ve built and what you’d do differently next time.</li></ol>We review every application personally. If you’re excited by satellites, big data, and real-world impact, let’s talk.

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Get Hired Faster With COMPANY_NAME!

1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process

2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!

3: The Type of Resume You Need to Get Priority Placement

4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME

5: COMPANY_NAME Helps You Grow Your Career

6: The Easiest Way To Find A Job

7: Find Roles That Offer Growth, Culture & Benefits

8: Get Support With Resume, Interviews & Career Planning

9: Your Future Starts Today

10: Get Hired Within 15 to 30 Days With COMPANY_NAME

Full-Stack Geospatial Data Engineer

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

5. HOW DO YOU PROCESS INFORMATION?

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

8. HOW TO PRIORITIZE WORK?

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10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

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